Development and Application of Portable Flood Sensor

Climate variability has been severe, and floods have recently caused serious damage to people's lives and property. The magnitude of rainfall in the future has changed drastically. If we only rely on strengthening the flood prevention hardware, it is still not enough to cope with the heavy rainfall brought by the extreme climate, therefore "it is more important to enhance the disaster preparedness of neighboring residents". Therefore, "it is more important to enhance the preparedness of the surrounding residents to prevent and avoid disasters". This study focuses on the development of sensors with marginal computing capabilities, easy installation, and low maintenance costs for urban areas to reduce the impact of short-term heavy rain disasters. Under the innovative decentralized flood warning system architecture, the sensors can be quickly extrapolated from point observation to surface flood prediction. The sensor has the following features (1) small size and power saving, (2) can perform marginal operation flooding mode and other advantages.

Design of the sensor

Using Line chatbot system as a platform, it can share computing resources (such as network, server, storage space, and application programs) through network streaming, and the computing resources can be quickly configured and applied.The system is installed in the cloud system, which means that the service is provided by large providers (such as Google or Amazon). In case of system failure, the provider will have a complete backup system to prevent service interruption and affect the efficiency of emergency response.

Maintaining the system requires minimal administrative work and support from the program team, which greatly reduces the cost and time required for subsequent community maintenance. The Line chatbot system can provide customized disaster prevention messages for communities, and users can also use the same platform to inquire about related information, such as rainfall and weather conditions from the Central Weather Bureau and flood warning information from the Department of Water Resources. The system can enhance users' attention to disaster warnings and effectively reduce related disaster losses.

LINE chatbot system

In addition to disaster prevention applications, the sensors' small size and ease of disassembly make them quickly deployable for a variety of purposes, including small hydroelectric power generation and monitoring water flow in field canals.

Case of application